Muntean Cristina Ioana

Researcher @HPCLab

Research Interests

My main research interests are in Information Retrieval and Machine Learning. I am particularly interested in neural and classic IR models, NLP and LLMs, applied to Conversational Search.

Future events

I will be attending the following events:

Past events:

Recent papers

My papers are at the crossroad of IR, ML and NLP, with particular focus on Coonversational Search.

  • Guglielmo Faggioli, Nicola Ferro, Cristina Ioana Muntean, Raffaele Perego, Nicola Tonellotto. A geometric framework for query performance prediction in conversational search. ACM SIGIR 2023. BEST PAPER Honorable Mention
  • Ophir Frieder, Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto. Caching historical embeddings in conversational search. ACM TWeb 2022. PATENT
  • Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder. Adaptive utterance rewriting for conversational search. IPM 2021.
  • Guido Rocchietti, Ophir Frieder, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego. Commonsense injection in conversational systems: An adaptable framework for query expansion. WI-IAT 2023.
  • Elnara Galimzhanova, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Guido Rocchietti. Rewriting conversational utterances with instructed large language models. WI-IAT 2023.
  • Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder. Weighting passages enhances accuracy. ACM TOIS 2020
  • Ida Mele, Cristina Ioana Muntean, Franco Maria Nardini, Raffaele Perego, Nicola Tonellotto, Ophir Frieder. Topic Propagation in Conversational Search. ACM SIGIR 2020.
More publications in Google Scholar and DBLP.

Resources

Datasets

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